A tumor vasculature-based imaging biomarker for predicting response and survival in patients with lung cancer treated with checkpoint inhibitors.
A tumor vasculature-based imaging biomarker for predicting response and survival in patients with lung cancer treated with checkpoint inhibitors.
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一种基于肿瘤血管系统的成像生物标志物，用于预测接受检查点抑制剂治疗的肺癌患者的反应和生存。
DOI：
10.1126/sciadv.abq4609
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发表时间：
2022-11-25
期刊：
影响因子：
13.6
通讯作者：
中科院分区：
文献类型：
--
作者：
肿瘤脉管系统是可以影响肿瘤行为和治疗性的肿瘤微环境的关键组成部分。 （NSCLC）用免疫检查点抑制剂（ICI）疗法进行了507例，以评估QVT生物标志物的不同方面我们从ICI治疗之前和之后的患者中提取，以捕获结节脉管系统的曲折，曲率，密度和分支统计量。到9.68，p = 0.0006，c-index = 0.61），可以在三个验证集上预测ICI响应，而AUC的AUC为0.66、0.61和0.67。我们的研究表明，QVT成像生物标志物可能有助于预测和监测NSCLC患者对ICI的反应。
NSCLC患者的ICI反应可能有助于预测和监测肿瘤脉管系统成像生物标志物。
Tumor vasculature is a key component of the tumor microenvironment that can influence tumor behavior and therapeutic resistance. We present a new imaging biomarker, quantitative vessel tortuosity (QVT), and evaluate its association with response and survival in patients with non–small cell lung cancer (NSCLC) treated with immune checkpoint inhibitor (ICI) therapies. A total of 507 cases were used to evaluate different aspects of the QVT biomarkers. QVT features were extracted from computed tomography imaging of patients before and after ICI therapy to capture the tortuosity, curvature, density, and branching statistics of the nodule vasculature. Our results showed that QVT features were prognostic of OS (HR = 3.14, 0.95% CI = 1.2 to 9.68, P = 0.0006, C-index = 0.61) and could predict ICI response with AUCs of 0.66, 0.61, and 0.67 on three validation sets. Our study shows that QVT imaging biomarker could potentially aid in predicting and monitoring response to ICI in patients with NSCLC. Tumor vasculature imaging biomarker can potentially aid in predicting and monitoring response to ICI in patients with NSCLC.
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DOI：
10.1158/1078-0432.ccr-18-2013
发表时间：
2019-03-01
期刊：
Clinical cancer research : an official journal of the American Association for Cancer Research
影响因子：
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Nature reviews. Cancer
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影响因子：
4
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影响因子：
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